Gerard de Haan

5.9k total citations · 2 hit papers
99 papers, 4.2k citations indexed

About

Gerard de Haan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Gerard de Haan has authored 99 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 42 papers in Biomedical Engineering and 27 papers in Signal Processing. Recurrent topics in Gerard de Haan's work include Non-Invasive Vital Sign Monitoring (40 papers), Advanced Vision and Imaging (30 papers) and Advanced Image Processing Techniques (26 papers). Gerard de Haan is often cited by papers focused on Non-Invasive Vital Sign Monitoring (40 papers), Advanced Vision and Imaging (30 papers) and Advanced Image Processing Techniques (26 papers). Gerard de Haan collaborates with scholars based in Netherlands, Finland and United States. Gerard de Haan's co-authors include Sander Stuijk, Wenjin Wang, Vincent Jeanne, Albertus C. den Brinker, Mark van Gastel, Andreia Moço, Natallia E. Uzunbajakava, Warner ten Kate, G.A.M. Krekels and Chris Bartels and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Gerard de Haan

94 papers receiving 4.1k citations

Hit Papers

Robust Pulse Rate From Ch... 2013 2026 2017 2021 2013 2016 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gerard de Haan Netherlands 27 3.3k 2.2k 1.3k 766 483 99 4.2k
Sander Stuijk Netherlands 32 2.1k 0.6× 1.4k 0.6× 840 0.7× 510 0.7× 186 0.4× 178 4.6k
Tatsuo Togawa Japan 28 1.3k 0.4× 1.1k 0.5× 925 0.7× 596 0.8× 375 0.8× 159 3.4k
Kouhyar Tavakolian United States 25 1.8k 0.5× 1.4k 0.6× 802 0.6× 143 0.2× 74 0.2× 138 2.6k
Mohanasankar Sivaprakasam India 27 1.5k 0.4× 979 0.4× 439 0.3× 353 0.5× 140 0.3× 289 3.1k
Lorenzo Scalise Italy 24 1.2k 0.4× 702 0.3× 391 0.3× 204 0.3× 266 0.6× 215 2.5k
Miguel Coimbra Portugal 23 379 0.1× 878 0.4× 281 0.2× 132 0.2× 408 0.8× 144 2.4k
Wim Verkruysse United States 25 2.0k 0.6× 1000 0.4× 752 0.6× 1.1k 1.5× 38 0.1× 63 3.0k
Guoxing Wang China 31 1.4k 0.4× 585 0.3× 219 0.2× 109 0.1× 86 0.2× 250 3.4k
Masaki Sekine Japan 19 1.1k 0.3× 703 0.3× 566 0.4× 114 0.1× 124 0.3× 65 1.9k
Reza Boostani Iran 29 616 0.2× 502 0.2× 93 0.1× 279 0.4× 440 0.9× 243 3.6k

Countries citing papers authored by Gerard de Haan

Since Specialization
Citations

This map shows the geographic impact of Gerard de Haan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerard de Haan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard de Haan more than expected).

Fields of papers citing papers by Gerard de Haan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard de Haan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerard de Haan. The network helps show where Gerard de Haan may publish in the future.

Co-authorship network of co-authors of Gerard de Haan

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard de Haan. A scholar is included among the top collaborators of Gerard de Haan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerard de Haan. Gerard de Haan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lorato, Ilde, Sander Stuijk, Mohammed Meftah, et al.. (2021). Towards Continuous Camera-Based Respiration Monitoring in Infants. Sensors. 21(7). 2268–2268. 28 indexed citations
2.
Huang, Zhengjie, Wenjin Wang, & Gerard de Haan. (2021). Nose breathing or mouth breathingƒ A thermography-based new measurement for sleep monitoring. TU/e Research Portal. 3877–3883. 12 indexed citations
3.
Wang, Wenjin, et al.. (2020). Analysis of CNN-based remote-PPG to understand limitations and sensitivities. Biomedical Optics Express. 11(3). 1268–1268. 60 indexed citations
4.
Lorato, Ilde, Sander Stuijk, Mohammed Meftah, et al.. (2020). Multi-camera infrared thermography for infant respiration monitoring. Biomedical Optics Express. 11(9). 4848–4848. 18 indexed citations
5.
Zhang, Lu, et al.. (2019). CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications. Journal of Ambient Intelligence and Humanized Computing. 11(6). 2369–2380. 12 indexed citations
6.
Lorato, Ilde, et al.. (2019). Camera-Based On-Line Short Cessation of Breathing Detection. TU/e Research Portal. 1656–1663. 6 indexed citations
7.
Wang, Yiyin, Wenjin Wang, Mark van Gastel, & Gerard de Haan. (2019). Modeling on the Feasibility of Camera-Based Blood Glucose Measurement. TU/e Research Portal. 1713–1720. 7 indexed citations
8.
Wang, Wenjin, Albertus C. den Brinker, & Gerard de Haan. (2019). Discriminative Signatures for Remote-PPG. IEEE Transactions on Biomedical Engineering. 67(5). 1462–1473. 59 indexed citations
9.
Gastel, Mark van, et al.. (2018). Fully-Automatic Camera-Based Pulse-Oximetry During Sleep. TU/e Research Portal. 1430–14308. 31 indexed citations
10.
Moço, Andreia, Sander Stuijk, & Gerard de Haan. (2018). New insights into the origin of remote PPG signals in visible light and infrared. Scientific Reports. 8(1). 8501–8501. 111 indexed citations
11.
Wang, Wenjin, Albertus C. den Brinker, Sander Stuijk, & Gerard de Haan. (2017). Color-Distortion Filtering for Remote Photoplethysmography. TU/e Research Portal. 71–78. 24 indexed citations
12.
Wang, Wenjin, Albertus C. den Brinker, Sander Stuijk, & Gerard de Haan. (2017). Robust heart rate from fitness videos. Physiological Measurement. 38(6). 1023–1044. 84 indexed citations
13.
Wang, Wenjin, Albertus C. den Brinker, Sander Stuijk, & Gerard de Haan. (2017). Amplitude-selective filtering for remote-PPG. Biomedical Optics Express. 8(3). 1965–1965. 44 indexed citations
14.
Wang, Wenjin, et al.. (2015). Video-based respiration monitoring with automatic region of interest detection. Physiological Measurement. 37(1). 100–114. 85 indexed citations
15.
Wang, Wenjin, Sander Stuijk, & Gerard de Haan. (2014). Exploiting Spatial Redundancy of Image Sensor for Motion Robust rPPG. IEEE Transactions on Biomedical Engineering. 62(2). 415–425. 212 indexed citations
16.
Jasinschi, Radu, et al.. (2012). Dialogue support for memory impaired people. TU/e Research Portal. 1–4. 3 indexed citations
17.
Shao, Ling, et al.. (2010). Quality adaptive least squares trained filters for video compression artifacts removal using a no-reference block visibility metric. Journal of Visual Communication and Image Representation. 22(1). 23–32. 15 indexed citations
18.
Waele, S. de, et al.. (2009). Automatic texture-detection algorithm for texture synthesis in video compression. TU/e Research Portal.
19.
Haan, Gerard de, et al.. (2002). 13.4: Subpixel Image Scaling for Color Matrix Displays. SID Symposium Digest of Technical Papers. 33(1). 176–179. 17 indexed citations
20.
Haan, Gerard de, et al.. (2000). A block-based motion estimator capable of handling occlusions. Machine Vision and Applications. 529–532. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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